Data Engineer $$$$ Offline

 Location: Remote
 Employment Type: Full-time
 

About the Role

We are seeking a Data Engineer to ensure smooth ingestion and reliable operation of our data flows. You’ll design, develop, and optimize scalable data pipelines that pull from APIs and streaming sources, keeping our datasets clean and analytics-ready.

Responsibilities

• Develop and maintain data ingestion pipelines from external APIs and streaming sources.
• Implement scalable ETL/ELT workflows using Airflow.
• Automate data validation and error handling processes to ensure accuracy and reliability.
• Collaborate with senior data engineers and architects to align with the overall data architecture.
• Support BI and analytics teams by ensuring availability of clean, reliable datasets.
  
   

Requirements

• 3+ years of experience in data engineering.
• Hands-on experience with API integrations (REST/GraphQL, authentication, pagination, rate limits).
• Proficiency in Python, SQL, and data pipeline frameworks.
• Solid experience with Airflow, Redshift, and S3.
• Experience with Kafka and event-based data ingestion.
• Familiarity with CI/CD for data workflows is a plus.
• Intermediate English (written and spoken).
  
   

What We Offer

• 100% remote work environment.
• Competitive compensation package.
• Opportunities for professional growth and learning.
• Collaborative and international team.